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《Journal of Beijing Information Science & Technology University》 2012-03
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Fuzzy PI control of asynchronous motor regulating speed system based on gray prediction

QI Kun,LI Hong,ZHANG Qiao-jie(School of Automation,Beijing Information Science and Technology University,Beijing 100192,China)  
To cover the shortage of the classic PI control,the fuzzy PI control based on gray prediction of speed error is introduced to the variable voltage speed control system of asynchronous motors.A control scheme accessible to calculation is proposed.In this scheme,GM(1,1) model is applied to predict the speed error,and the fuzzy controller is applied to self-adjust PI parameters in real time,so the control performance of this system is improved.Simulation experiment results show that this scheme has better control effect than classic PI control method when the given speed or the load torque is varied.
【Fund】: 北京信息科技大学科研基金项目(1025027)
【CateGory Index】: TM343
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